This document discusses ways to identify potential biases in data presentations. It notes that presenters may selectively choose favorable data and emphasize conclusions that support their own bias. It also advises readers to consider whether the sample size of any studies or surveys is large enough to support reliable conclusions. Readers are warned to watch out for switches between raw data and conclusions, as increases in reported cases do not necessarily mean increases in actual cases. Finally, the document stresses that while historical trends can be factual, projecting future trends based on the past is merely an educated guess.